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Des représentations continues de mots pour l'analyse d'opinions en arabe: une étude qualitative (Word embeddings for Arabic sentiment analysis : a qualitative study).

, , и . CORIA-TALN-RJC (TALN 2), стр. 215-224. ATALA, (2018)

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Adaptation and Discriminative Training of Acoustic Models., и . Techniques for Noise Robustness in Automatic Speech Recognition, Wiley, (2012)Speaker Adaptive Training and Mixup Regularization for Neural Network Acoustic Models in Automatic Speech Recognition., , и . INTERSPEECH, стр. 2414-2418. ISCA, (2018)The LIUM speech transcription system: a CMU Sphinx III-based system for French broadcast news., , , и . INTERSPEECH, стр. 1653-1656. ISCA, (2005)Investigating Self-Supervised Pre-Training for End-to-End Speech Translation., , , , и . INTERSPEECH, стр. 1466-1470. ISCA, (2020)Dynamic selection of language models in a dialogue system., , и . INTERSPEECH, стр. 214-217. ISCA, (2000)LeBenchmark 2.0: a Standardized, Replicable and Enhanced Framework for Self-supervised Representations of French Speech., , , , , , , , , и 12 other автор(ы). CoRR, (2023)Is one brick enough to break the wall of spoken dialogue state tracking?, , и . CoRR, (2023)Acoustic and linguistic representations for speech continuous emotion recognition in call center conversations., , , и . CoRR, (2023)Some voices are too common: Building fair speech recognition systems using the Common Voice dataset., и . CoRR, (2023)Recent Advances in End-to-End Spoken Language Understanding., , , , и . SLSP, том 11816 из Lecture Notes in Computer Science, стр. 44-55. Springer, (2019)